RigFit โ€บ Compare โ€บ RX 7900 XTX vs RTX 4090

RX 7900 XTX vs RTX 4090 for local AI (2026)

VRAM, memory bandwidth, today's prices (new, used and rental) and which local AI models each card can run.

Prices updated Nov 12, 2026

The short version

Specs and prices

RX 7900 XTXRTX 4090
VRAM24 GB GDDR624 GB GDDR6X
Memory bandwidth960 GB/s1,008 GB/s
Memory bus384-bit384-bit
Cheapest today$1,200 usedGPU Sold ยท 2026-11-10$3,066 usedGPU Sold ยท 2026-11-10
Lowest newโ€”โ€”
Used (median eBay ask)$1,200GPU Sold$3,066GPU Sold
$ per GB VRAM$50$128
Rent fromโ€”$0.34/hrRunpod
Launch MSRP$999$1,599
Launched2022-122022-10
SoftwareROCm/Vulkan - works in llama.cpp & Ollama; image/video tooling less matureCUDA - best support in llama.cpp, vLLM, ComfyUI
Check priceused ยท eBayor new on AmazonCheck priceused ยท eBayor new on Amazon

Which models fit

ModelRX 7900 XTX Q4RTX 4090 Q4RX 7900 XTX Q8RTX 4090 Q8
Llama 3.1 8B Instructโœ“ ~96 tok/s6.5 GBโœ“ ~101 tok/s6.5 GBโœ“ ~59 tok/s9.9 GBโœ“ ~62 tok/s9.9 GB
Llama 3.3 70B Instructโœ—needs 43 GBโœ—needs 43 GBโœ—needs 73 GBโœ—needs 73 GB
Qwen3 8Bโœ“ ~93 tok/s6.7 GBโœ“ ~97 tok/s6.7 GBโœ“ ~58 tok/s10.2 GBโœ“ ~61 tok/s10.2 GB
Qwen3 14Bโœ“ ~55 tok/s10.6 GBโœ“ ~58 tok/s10.6 GBโœ“ ~33 tok/s16.9 GBโœ“ ~35 tok/s16.9 GB
Qwen3 32Bโœ“ ~26 tok/s21.5 GBโœ“ ~27 tok/s21.5 GBโœ—needs 35 GBโœ—needs 35 GB
Qwen3 30B-A3B (MoE)โœ“ ~202 tok/s19.0 GBโœ“ ~213 tok/s19.0 GBโœ—needs 32 GBโœ—needs 32 GB
Qwen2.5 Coder 32B Instructโœ“ ~26 tok/s21.5 GBโœ“ ~27 tok/s21.5 GBโœ—needs 35 GBโœ—needs 35 GB
Qwen3 235B-A22B (MoE)โœ—needs 135 GBโœ—needs 135 GBโœ—needs 235 GBโœ—needs 235 GB
Gemma 3 12B ITโœ“ ~69 tok/s8.7 GBโœ“ ~73 tok/s8.7 GBโœ“ ~41 tok/s13.9 GBโœ“ ~43 tok/s13.9 GB
Gemma 3 27B ITโœ“ ~32 tok/s17.5 GBโœ“ ~34 tok/s17.5 GBโœ—needs 29 GBโœ—needs 29 GB
Mistral 7B Instruct v0.3โœ“ ~105 tok/s6.1 GBโœ“ ~110 tok/s6.1 GBโœ“ ~65 tok/s9.2 GBโœ“ ~68 tok/s9.2 GB
Mistral Small 24B Instruct (2501)โœ“ ~36 tok/s15.6 GBโœ“ ~38 tok/s15.6 GBโœ—needs 26 GBโœ—needs 26 GB
Mixtral 8x7B Instruct (MoE)โœ—needs 28 GBโœ—needs 28 GBโœ—needs 48 GBโœ—needs 48 GB
DeepSeek R1 Distill Llama 8Bโœ“ ~96 tok/s6.5 GBโœ“ ~101 tok/s6.5 GBโœ“ ~59 tok/s9.9 GBโœ“ ~62 tok/s9.9 GB
DeepSeek R1 Distill Qwen 14Bโœ“ ~54 tok/s10.8 GBโœ“ ~57 tok/s10.8 GBโœ“ ~33 tok/s17.1 GBโœ“ ~34 tok/s17.1 GB
DeepSeek R1 Distill Qwen 32Bโœ“ ~26 tok/s21.5 GBโœ“ ~27 tok/s21.5 GBโœ—needs 35 GBโœ—needs 35 GB
FLUX.1 [dev]โœ“ fits9.9 GBโœ“ fits9.9 GBโœ“ fits15.0 GBโœ“ fits15.0 GB
FLUX.1 [schnell]โœ“ fits9.9 GBโœ“ fits9.9 GBโœ“ fits15.0 GBโœ“ fits15.0 GB
Stable Diffusion XL 1.0โœ“ fits5.2 GBโœ“ fits5.2 GBโœ“ fits6.3 GBโœ“ fits6.3 GB
Wan 2.1 T2V 14B (video)โœ“ fits14.9 GBโœ“ fits14.9 GBโœ“ fits20.9 GBโœ“ fits20.9 GB
Wan 2.1 T2V 1.3B (video)โœ“ fits4.6 GBโœ“ fits4.6 GBโœ“ fits5.2 GBโœ“ fits5.2 GB

8K-token context. tok/s = rough bandwidth-based estimate. Method.

FAQ

Is the RX 7900 XTX or RTX 4090 better for local AI?

VRAM: both have 24 GB, so they fit exactly the same models. Speed: the RTX 4090 has about 5% more memory bandwidth, so expect roughly 5% faster token generation on models that fit both (estimate; prompt processing and image generation depend on compute, not shown). Price: the RX 7900 XTX is $1,866 cheaper today ($1,200 used vs $3,066 used); per GB of VRAM that's $50 vs $128. Software: RX 7900 XTX: ROCm/Vulkan - works in llama.cpp & Ollama; image/video tooling less mature. RTX 4090: CUDA - best support in llama.cpp, vLLM, ComfyUI.

Which has more VRAM, RX 7900 XTX or RTX 4090?

RX 7900 XTX: 24 GB; RTX 4090: 24 GB.

Is the RTX 4090 faster than the RX 7900 XTX for LLMs?

For token generation, likely yes by roughly 5% (memory bandwidth 1,008 vs 960 GB/s). This is an estimate, not a benchmark.

How much do the RX 7900 XTX and RTX 4090 cost today?

RX 7900 XTX: about $1,200 (used, GPU Sold). RTX 4090: about $3,066 (used, GPU Sold). Observed Nov 12, 2026.

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